The physiological signals are typically contaminated with noise and artifacts.

The signal features based on the typical statistical, spectral, non-linear dynamical, and adaptive modeling analysis might not be enough diagnostic efficient in distinguishing the patients’ physiological states.

The uncertain and complex relationships between physiological states and physiological signals are difficult to be modeled using classical modeling approaches.